Platooning a left-hander and a right-hander is a fairly common practice for major league teams, but utilizing platoon partners on your fantasy team isn’t the best way to take advantage of platoon splits. This may seem super obvious to you, but it’s better to use two lefties on separate teams who are used as platoon players as opposed to using two players who are platoon partners on the same team. In other words it’s better to go with Matt Joyce and Daniel Nava than it is to go with Nava and Jonny Gomes. Read the rest of this entry »

Preseason injuries have hit the Texas Rangers pretty hard, and Jurickson Profar is the latest member of the team to suffer one.

Jurickson Profar will miss 10 to 12 weeks with a torn muscle in his shoulder. #Rangers

— Jeff Wilson (@JeffWilson_FWST) March 23, 2014

First things first. If you’ve already drafted, it will be time to hit the waiver wire once the season starts and Profar is eligible to be moved to your DL slot. If Profar was filling your second base slot, here is a list of names from which you should look to replace him in order of my preference (I realize some of these guys will not be available depending on the depth of your league): Anthony Rendon, Kelly Johnson,  Marco Scutaro, Marcus Semien. And if you had Profar in your middle infield slot, here is a list of potential replacements that includes shortstops: Brad Miller, Rendon, Alcides Escobar, Johnson, Scutaro, Zack Cozart, Erick Aybar, Semien. The list of candidates to replace Profar in Texas is fairly long and uninspiring at this point, but in the event that they go with prospect Rougned Odor (unlikely), those of you in keeper leagues might consider a stash.

It’s no surprise that the list of acceptable replacements is thin, but this is also a good time to talk about the state of second base as we head into the last week of fantasy drafts. It would seem that there are four clear tiers of second basemen. Below is a chart showing the four tiers along with each player’s ADP on ESPN.com. Read the rest of this entry »

The discussion below does not involve bizarre predictions. In fact, it doesn’t even include bold predictions. Essentially, the discussion is just the opposite of my bold predictions post last week. Or opposite in that I’ll be discussing players I dislike compared to the average as opposed to players I like. As for what ‘the average is,’ I’m using the expert consensus rank (ECR) from FantasyPros.com. If you’re still confused on the premise of this post, maybe the image below will help.

Read the rest of this entry »

I’ve been working through a series of posts on how to prepare for leagues that use non-traditional categories. My concern is that people are going into drafts with materials that are geared toward 5×5 categories because almost any set of rankings or values from a major industry source services the traditional categories. Unless you’ve created your own rankings with projections for non-traditional categories or found rankings geared toward them, your draft materials are hurting you to some degree.

Read the rest of this entry »

My bold predictions article from last year was summarily found to be not bold. The very first commenter said it wasn’t bold and 63 people gave that comment a thumbs up. Another commenter sarcastically chided me saying “You mean Rickie Weeks won’t have (a) career worst season again?” As it turns out, Weeks did have his career worst full season according to wRC+. Not sure if that makes me or the commenter dumb. Probably both.

What I did in last year’s bold predictions was take guys from each position that weren’t being drafted as starters who I thought would be starters.  Only three of my ten predictions came true, which is the same batting average Eno thinks is normal for these bold predictions articles. Of course that could just mean that I’m so bad at this that I couldn’t get more than 3/10 right with such obvious calls.

But I’m getting back on the horse this year with a slightly different saddle. The mistake I made last year was discussing players I had ranked as starters in my preseason ranks. This year I’ll be discussing guys that I have ranked just outside starter territory that I think could end up beating my projection and ranking. This means that all players discussed will have an ADP that is, on average, lower than that of the players I discussed last year (all ADP from ESPN). I guess technically that makes the predictions more bold.

If you still don’t think the predictions are bold enough, sorry. My real goal here is to simply identify some guys around the diamond that I think are undervalued in drafts. The ‘bold’ in the title is there on mandate from the higher-ups. If it was up to me, this post would be titled something like ‘Undervalued Players at Each Position.’ If you happen to think some or all of the predictions are actually bold, that’s all the better. Read the rest of this entry »

In the leagues I run that have inexperienced and/or casual team owners, I always use the standard 5×5 roto categories because I feel that it would give me and the other experienced players an advantage. I know that the casual players in my leagues are using the rankings provided by the website on which we’re drafting or some other set of rankings from a major industry source. And almost all of those rankings are based on standard categories. If I replaced, for example, home runs with slugging percentage, I would be able to identify the players whose valuation or ranking would change with the different category. But the noobs would be using rankings made with home runs in mind.

I polled my Twitter followers to find out the most common uses of non-standard categories so that I could determine the players whose valuation/ranking changed the most when non-standard categories are used. The most common answers were OBP replacing batting average (which I covered here), slugging percentage replacing home runs, and OPS being added as a sixth category to the standard five hitter categories. Sorry if your league has a different non-traditional format.

Below are charts showing the biggest changes in SLG and OPS leagues. For an explanation of the methodology used, check out the OBP piece I just linked to. And if you’d like to see how all 242 hitters that I have projected are affected by SLG replacing HR or OPS being a sixth category, you can find the SLG list here and the OPS list here.

First up, guys who get a bump when slugging percentage replaces home runs.

Miguel Cabrera and Paul Goldschmidt are even more valuable in slugging percentage leagues, and they close the gap between them and Trout in auction leagues. Joey Votto shows up on this list just as he did in my OBP post. He’s obviously excellent, but the standard categories aren’t the best measure of his excellence.

Unsurprisingly, we see a few young first basemen here who haven’t reached the ‘power potential’ some thought they might. But really they just haven’t put up big home run totals. Freddie Freeman and Eric Hosmer may never settle in as 30+ HR regulars or even 25-30 HR regulars, but if you play in a slugging percentage league, their power plays. And Brandon Belt gets the biggest boost by switching to SLG. It’s possible his ballpark has something to do with it, but he’s very much in the Freeman/Homser mold. The only non-1B/DH player on this list is Yadier Molina who was 4th in the league in doubles last year.

Now the guys who you would prefer in a home run league. Read the rest of this entry »

This is a subject I tackled last year, but the basic idea for this article is that people playing in leagues that use non-traditional roto categories may not be equipped with proper draft materials. Almost any set of rankings you can find online are compiled with the standard 5×5 roto categories in mind. Some sites may have rankings published specifically for leagues that replace batting average with OBP, but the vast majority assume standard categories. If you’re using a set of rankings from a site or magazine, you’re doing yourself a disservice unless those rankings were designed for OBP leagues.

I’ve compiled my own projections for 242 hitters to generate my own rankings, and I’ve generated rankings specifically for standard 5×5 leagues and leagues that have replaced batting average with OBP. I want to highlight the players who gain the most in OBP leagues and the players who are hurt the most when OBP replaces average. I base my rankings off a number Zach Sanders calls Fantasy Value Above Replacement (FVARz). Essentially I assign each player a value for each category and add them all up while adjusting for positional scarcity.

Below I’ve included two lists; one shows the players whose FVARz increases the most when OBP replaces average, and the other shows the players whose FVARz decreases the most. I’ve also included their ranking among hitters and auction values for both batting average and OBP leagues. Over on a site of which I’m the managing editor, TheFantasyFix.com, I’ve posted how the rankings and auction values change for all 242 hitters I have projections for when the switch is made to OBP. You can find that here. All values are based on 10-team leagues with 25-man rosters, 13 starting hitter slots and three bench slots. If you have questions about the methodology, the charts or anything else, hit me up in the comments. Read the rest of this entry »

According to MockDraftCentral.com, the Nationals infield has a couple of top 100 players, a top 150 player, and two others who are on the edge of fantasy viability. But as far as value goes, I think the three that drafters like the most are probably the ones I like the least. And one of those two the drafters have on the edge of viability is not within the realm of viability if you ask me.

Catcher

Ramos’ ADP is 244th, placing him just on the edge of fantasy relevance. With the projection I’ve listed above (projections are my own), I have him as the #11 catcher this year. Last year, 11 catchers finished with an ESPN player rater number in the top 250. The drafters are spot on having Ramos going at the tail end of shallow mixed league drafts.

Ramos is interesting because there is a possibility that he could be a top five catcher or completely irrelevant. They key is simply playing time. In the last two seasons combined he has come up just shy of 400 PA. My PA projection is fairly optimistic, and the Fan projections are slightly more optimistic coming in at 467 PA. The higher that PA total gets above 450, the higher he’ll finish among catchers. Read the rest of this entry »

The Baltimore infield gave us quite a few fantasy relevant options last year. They had a player finish inside the top 12 at every position other than second base, and Chris Davis emerged as a complete stud. Their four fantasy relevant guys will return to their positions, but there are some questions about whether they’ll be able to repeat their value from last year.

Read the rest of this entry »

I didn’t spend the time to click through each team in the Steamer projections, but I’m guessing the Red Sox are one of few teams, if not the only team, to have the five guys projected to pitch the most innings each be projected for 2+ WAR. They may not have an elite starter, but their rotation has nice depth.

Although not elite, Jon Lester isn’t a bad first option. He’s going on six straight years of 190+ IP, and he topped 200 IP in five of those six years. From 2008 to 2011 he coupled the workhorse inning totals with a sub-3.50 ERA. But the wheels came off in 2012. He lost velocity, and his ERA ballooned up to 4.82 while his strikeout rate fell to league average. Luck also played a part in the down year as his HR/FB rate was about four points higher than his career average, which contributed to a career low strand rate that was about seven points below his career average.

Not that we should have seen such a blow up coming, but the signs were there in 2011 that Lester was in decline. His strikeout rate had hovered just above 26% in the two years prior to 2011, but it fell to 22.8% that year. That contributed to the highest ERA (3.47) of that four year stretch and the first time in three years that his SIERA was above 3.50. At that point it was probably safe to assume that a slow decline had begun. Given that Lester’s ERA finished at 3.75 last year, maybe we should have expected to land in the 3.60 range in 2012 if all else had been equal. Read the rest of this entry »